AI 机器学习 资源

A powerful Neovim plugin that integrates MCP (Model Context Protocol) servers into your workflow. Configure and manage MCP servers through a centralized config file while providing an intuitive UI for browsing, installing and testing tools and resources. Perfect for LLM integration, offering both programmatic API access and interactive testing capabilities through the :MCPHub command.

This project demonstrates how to build AI-powered applications using Java and Spring Boot, leveraging Spring AI's Model Context Protocol (MCP) and Google Custom Search API. It showcases the integration of large language models (LLMs) with external tools and resources in a structured and extensible way.

Scaling LawOpenAIIlya SutskeverGPT2025AI

A Johnny-Five powered robot controlled through Claude's Model Context Protocol (MCP).

Just A Rather Very Intelligent System - MCP Server

A Rust-based Model Context Protocol (MCP) server that exposes a V8 JavaScript runtime as a tool for AI agents like Claude and Cursor. Supports persistent heap snapshots via S3 or local filesystem, and is ready for integration with modern AI development environments.

This repo is for Praticing the Langgraph,Langchain,AI Automation and other stuff along with these MCP server,client implementation

This project implements a LangGraph agent based on the ReWOO (Reasoning WithOut Observation) pattern. Similar to the ReAct (Reasoning and Acting) pattern, it reasons and acts, but aims to reduce the amount and complexity of prompts, especially when using Small LLMs (SLMs), by pre-defining the necessary evidence during the planning phase instead of explicitly separating an Observation step.

A Next.js project for testing the Model Context Protocol (MCP) client and server features of the Vercel AI SDK. This playground allows experimenting with MCP tools, transports, and integrations.

Model Context Protocol (MCP) server connecting Claude AI to NOAA tide data with AI Agent workflows for automated coastal environmental condition alerts.

An AI-powered assistant for Kubernetes operations and management through natural language interactions.

An MCP server that generates diagrams from Mermaid code in multiple formats (SVG, PNG, PDF). This server enables AI assistants and other MCP clients to create diagrams using the Mermaid diagram syntax, with support for multiple themes, formats, and customizable backgrounds.

This is a .NET-based MCP (Model Context Protocol) server that enables AI assistants to access the SEC EDGAR database through its API. The server provides a standardized interface for AI assistants to retrieve company information, SEC filings, and financial statement data.

A Model Context Protocol (MCP) tool server for OpenAI's GPT-4o/gpt-image-1 image generation and editing APIs.

A Model Context Protocol (MCP) server for interacting with a Vectra knowledge base.

This project demonstrates a functional AI assistant capable of understanding natural language, interacting with external APIs (like X), and executing structured tool calls via the MCP protocol. It's a strong foundation for extending agents with more complex workflows, such as scheduling, summarizing, or interacting with other platforms like Discord, GitHub, or email.

Bring clarity to your agent-powered coding!

This is a Model Context Protocol (MCP) server implemented with Node.js and Express. It provides calculator functionality, date formatting, unit conversion, and natural language to SQL query conversion using Google's Gemini API.

The SFX MCP Server provides a Model Context Protocol (MCP) tool for generating sound effects using the ElevenLabs API. It uses an internal module (sfx_mcp.elevenlabs_sfx) as its core engine for sound generation and is designed to be managed by an MCP client like Cline.

MCP Kandinsky MCP (Model Context Protocol) , Kandinsky API.

This project provides a Model Context Protocol (MCP) server that allows Large Language Models (LLMs) like Claude to interact with data from Screener.in for Indian stock market analysis.

An experimental Model Context Protocol (MCP) server that exposes Kubernetes functionality to AI chat interfaces through kubectl. This project demonstrates how to integrate Kubernetes with AI assistants, allowing them to help analyze and manage your cluster resources using familiar kubectl commands.

A Model Context Protocol (MCP) server that provides package management capabilities for AI agents, supporting dependency resolution, version management, and package querying across multiple package managers.

A framework for declarative LLM application development focused on resource management, prompt templates, and tool execution.

MCP server for an AI assistant

A command-line tool to manage Claude MCP servers configuration with version control and profiling. Now also has a companion mcp server to let llms config for you.

This project is an MCP (Model Context Protocol) server built to interact with the vast arXiv.org paper database.

This Model Context Protocol (MCP) server exposes Terraform best practices, module structure recommendations, code pattern templates, and validation tools to AI assistants.

Simple JS Stacktrace MCP for getting the nearest error location from JavaScript bundle URL and lets an LLM checks if it matches anything in the current codebase.

This repository showcases my experiments with Model Context Protocols (MCPs). While MCPs are intriguing, I firmly believe that Chainlit remains the go-to standard for AI-driven products. Chainlit's flexibility and robustness make it unparalleled in building AI applications.

A Model Context Protocol (MCP) server implementation that provides various tools for AI agents and LLMs, including search capabilities powered by SearXNG and file system operations.

A Model Context Protocol (MCP) server implementation for the Birdeye APIs. This server acts as a middleware between AI models and the Birdeye blockchain data APIs, providing context about tokens, markets, wallets, NFTs, and more on the Solana blockchain.

A Model Context Protocol (MCP) server that defines and governs contextual boundaries based on agent roles in your system.

A Model Context Protocol (MCP) server that reduces token consumption by efficiently caching data between language model interactions. Works with any MCP client and any language model that uses tokens.

MCP-Use is the open source way to connect any LLM to any MCP server and build custom agents that have tool access, without using closed source or application clients.

This repository contains a series of labs for learning how to build and use Model Context Protocol (MCP) servers and integrate them with AI Agents.

MCP server implementation that enables voice conversations with Claude Desktop, initially focusing on Text-to-Speech (TTS) capabilities.

Universal LLM agent based on the Model Context Protocol (MCP), with the ability to utilize tools from other MCP servers.

AgentMode is an all-in-one Model Context Protocol (MCP) server that connects your coding AI to dozens of databases, data warehouses, data pipelines, cloud services, and more. This extension is designed to streamline your development workflow by providing seamless integration with various data and cloud platforms.

A Model Context Protocol (MCP) Node server that enables AI assistants like Claude Desktop, or IDEs like Cursor and Windsurf to control Spotify playback and manage playlists. Great for music discovery and creative playlist curation. Try asking Claude for some less-known tracks in a genre or similar to an artist. You can start by asking to create a new playlist or update an existing playlist.

: -MCP01 MCP Server 12 https://youtu.be/yXFb8Cg9l7g https://www.bilibili.com/video/BV187LozwEY7/ :01_AmapMCPServerTest

A client-server application that integrates with Twitter and Google's Gemini AI to create an interactive AI-powered social media assistant.

The mcp-kubernetes-server is a Model Context Protocol (MCP) server that enables AI assistants to interact with Kubernetes clusters. It serves as a bridge between AI tools (like Claude, Cursor, and GitHub Copilot) and Kubernetes, translating natural language requests into Kubernetes operations and returning the results in a format the AI tools can understand.

This repository demonstrates a more advanced approach to integrating Large Language Models (LLMs) with databases using the Model Context Protocol (MCP). While generic MCP PostgreSQL servers allow LLMs to explore databases through raw SQL queries, this project takes a different approach by creating a custom MCP server that provides a domain-specific API tailored to the application's needs.

Vibe Coder is an MCP (Model Context Protocol) server designed to supercharge your AI assistant (like Cursor, Cline AI, or Claude Desktop) with powerful tools for software development. It helps with research, planning, generating requirements, creating starter projects, and more!

This project provides a Model Context Protocol (MCP) server that connects AI assistants to ScreenshotOne.com API to capture screenshots of websites.

A Model Context Protocol (MCP) server implementation for Common Ninja Widgets+, allowing AI assistants to interact with the Common Ninja API.

A MCP server that provides seamless interaction with Wikipedia's API. This tool allows you to search and retrieve Wikipedia content with LLMs !

MCP is currently under active development and in alpha stage. We're looking for contributors to help build out this exciting project! Whether you're interested in:

This project provides a web-based chat interface using Gradio where users can interact with an AI assistant powered by the OpenAI API. The assistant is equipped with tools to interact with the local filesystem and perform network scans using a containerized Nmap server.

A Model Context Protocol (MCP) server that provides access to Jenkins data and functionality through a standardized interface for LLMs.

A powerful local server that provides subtitle management, transcription, summarization, and assessment services.

A Model Context Protocol (MCP) server that provides Vector Database integration (Pinecone) for AI agents.

A Model Context Protocol (MCP) server designed to interact with materials databases through the OPTIMADE API, with a specific focus on Google DeepMind's GNoME (Graph Networks for Materials Exploration) dataset. This project serves as a bridge between the OPTIMADE API and materials science applications, enabling efficient access and manipulation of crystal structure data.

Welcome to TaskFlow MCP, a task management Model Context Protocol (MCP) server designed to enhance AI assistants. This project helps break down user requests into manageable tasks, complete with subtasks, dependencies, and notes. It enforces a structured workflow with user approval steps, making task management simpler and more efficient.

MCP Server for managing connections and APIs for Abacus.ai Projecta